Understanding metabolism is fundamental in biomedical and plant research and the identification and quantification of thousands of metabolites by mass spectrometry in modern metabolomics is a prerequisite for elucidating this area. However, the identification of metabolites is a major bottleneck in traditional approaches hampering advances. Here, we present a novel approach for the untargeted discovery of metabolite families offering a bird's eye view of metabolic regulation in comparative metabolomics. We implemented the presented methodology in the easy-to-use web application MetFamily to enable the analysis of comprehensive metabolomics studies for all researchers worldwide. MetFamily is available under http://msbi.ipb-halle.de/MetFamily/.
This PR provides a loading spinner while initializing MetFamily.
The timing is still not perfect, but it is more sophisticated than a blank screen.
Furthermore, this PR avoids loading UI libraries twice (in server and UI).
The disadvantage is that the shared R session will try to load the libraries for every new user again, but as far as I know, this should not result in much overhead when the libraries are already present.
This PR provides a loading spinner while initializing MetFamily. The timing is still not perfect, but it is more sophisticated than a blank screen. Furthermore, this PR avoids loading UI libraries twice (in server and UI). The disadvantage is that the shared R session will try to load the libraries for every new user again, but as far as I know, this should not result in much overhead when the libraries are already present.